pysph 1.0~b0~20191115.gite3d5e10-6build1 source package in Ubuntu

Changelog

pysph (1.0~b0~20191115.gite3d5e10-6build1) jammy; urgency=medium

  * No-change rebuild with Python 3.10 only

 -- Graham Inggs <email address hidden>  Wed, 16 Mar 2022 19:25:59 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Jammy
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Jammy release universe misc

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pysph_1.0~b0~20191115.gite3d5e10.orig.tar.gz 2.6 MiB 16182623caef4200fc71e7f46c2472954d7818a4234043ffc6c10826b3975ea6
pysph_1.0~b0~20191115.gite3d5e10-6build1.debian.tar.xz 14.9 KiB b6aa69367e7c579e79494bdf21cd55d41fa15ad4b256d54ebfcbb5dcbc857cfe
pysph_1.0~b0~20191115.gite3d5e10-6build1.dsc 2.6 KiB 1754e0411350487e020367a1dc128bb6d5f4b488454055c3a2e42578ad8c15cd

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Binary packages built by this source

pysph-doc: documentation and examples for PySPH

 It is implemented in Python and the performance critical parts are
 implemented in Cython.
 .
 PySPH is implemented in a way that allows a user to specify the entire
 SPH simulation in pure Python. High-performance code is generated from
 this high-level Python code, compiled on the fly and executed. PySPH also
 features optional automatic parallelization using mpi4py and Zoltan.
 The package contains documentation and examples for PySPH.

pysph-viewer: viewer for PySPH - framework for Smoothed Particle Hydrodynamics

 It is implemented in Python and the performance critical parts are
 implemented in Cython.
 .
 PySPH is implemented in a way that allows a user to specify the entire
 SPH simulation in pure Python. High-performance code is generated from
 this high-level Python code, compiled on the fly and executed. PySPH also
 features optional automatic parallelization using mpi4py and Zoltan.
 The package contains viewer for PySPH.

python3-pysph: open source framework for Smoothed Particle Hydrodynamics

 It is implemented in Python and the performance critical parts are
 implemented in Cython.
 .
 PySPH is implemented in a way that allows a user to specify the entire
 SPH simulation in pure Python. High-performance code is generated from
 this high-level Python code, compiled on the fly and executed. PySPH also
 features optional automatic parallelization using mpi4py and Zoltan.

python3-pysph-dbgsym: No summary available for python3-pysph-dbgsym in ubuntu kinetic.

No description available for python3-pysph-dbgsym in ubuntu kinetic.